MacBook Pro (14-inch, 2024)
Geekbench AI Score
5750
Single Precision Score
8850
Half Precision Score
6834
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.7 IPS |
|
|
Image Classification (Q)
|
96% |
2167
404.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3585
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18890
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30867
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23955
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4579
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8569
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14273
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9961
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35092
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46895
60.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37910
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9529
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5266
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5178
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5777
99.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8723
150.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8709
150.5 IPS |
